lhsolki 1.3.0 © 2002-2005 by Turku PET Centre
Estimates the influx rate constant (Ki) from compartmental model:
| | K1 | | 1-tissue CM
| | --> | k3 | Ki=K1
| A | <-- | A -------> B |
| | k2 | | 2-tissue CM
|______| |___________________| Ki=(K1*k3)/(k2+k3)
The model is transformed to general linear least squares functions ,
which are solved using Lawson-Hanson non-negative least squares (NNLS)
algorithm . Ki is estimated directly without division .
1) Metabolite corrected plasma file
2) Tissue TAC file (*.dft)
3) Fit end time (duration)
4) Result file (existing file is overwritten)
e.g.: lhsolki ub2917ap_pure.kbq ub2917.dft 90 ub2917ki.res
-0 Akaike weighted avg of 1- and 2-tissue compartment model results [4,5]
-1 Force one-tissue compartment model for all regions
-2 Force two-tissue compartment model for all regions (default)
-A Automatic selection of model for separate regions
1. Blomqvist G. On the construction of functional maps in positron emission
tomography. J Cereb Blood Flow Metab 1984;4:629-632.
2. Lawson CL & Hanson RJ. Solving least squares problems.
3. Zhou Y, Brasic J, Endres CJ, Kuwabara H, Kimes A, Contoreggi C, Maini A,
Ernst M, Wong DF. Binding potential image based statistical mapping for
detection of dopamine release by [11C]raclopride dynamic PET.
4. Turkheimer FE, Hinz R, Cunningham VJ. On the undecidability among
kinetic models: from model selection to model averaging. J Cereb Blood
Flow Metab 2003; 23: 490-498.
5. Sederholm K. TPCMOD0016 2003-03-20.
See also: dftcbv
Keywords: DFT, modelling, irreversible uptake
Last updated 2005-07-27 15:14:54